Evidence map›Paper›PMID 42136945›Full record

ArticleFrontiers in dementia2026

Spontaneous conversations as data in young-onset dementia research: a qualitative study.

Martina Quartarone, Ludovica Forte, Lara Calabrese, Marco Brigiano, Alice Annini, Sara Trolese, Giorgia Vella, Francesca Vaienti, Manuela Boschetti, Rabih Chattat

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Article in Frontiers in dementia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Martina QuartaroneDepartment of Psychology, University of Bologna, Bologna, Italy.
Ludovica ForteDepartment of Psychology, University of Bologna, Bologna, Italy.
Lara CalabreseDepartment of Psychology, University of Bologna, Bologna, Italy.
Marco BrigianoDepartment of Psychology, University of Bologna, Bologna, Italy.
Alice AnniniDepartment of Psychology, University of Bologna, Bologna, Italy.
Sara TroleseDepartment of Psychology, University of Bologna, Bologna, Italy.
Giorgia VellaDepartment of Psychology, University of Bologna, Bologna, Italy.
Francesca VaientiASP Valloni Marecchia, Rimini, Italy.
Manuela BoschettiASP Valloni Marecchia, Rimini, Italy.
Rabih ChattatDepartment of Psychology, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Young-onset dementia (YOD), defined by symptom onset before the age of 65, profoundly impacts personal identity, work, and family life. Despite growing interest in the psychosocial dimensions of YOD, the direct voices of people living with the condition remain underrepresented. Existing qualitative research has mainly relied on structured interviews, which can constrain spontaneity and the emergence of authentic meanings. This study adopts an innovative approach by analyzing spontaneous conversations as a naturalistic form of data, enabling a more ecological understanding of living experience. Methods: An exploratory qualitative study was conducted at an Italian Meeting Center for people with YOD. Eleven participants (aged 55-68) took part in 14 naturally occurring group conversations, recorded between October 2024 and February 2025. Transcripts were analyzed using the Findings: Four overarching themes were identified: (1) Conclusions: Spontaneous conversations offer a powerful lens to capture the nuanced, relational, and participatory aspects of living with young-onset dementia. This approach complements traditional qualitative methods by restoring authenticity to the voices of people with dementia, fostering inclusion, and informing the co-construction of more responsive psychosocial and community interventions.

Indexed as

co-productionliving experienceparticipatory researchspontaneous conversationssubjective experiencesyoung-onset dementia (YOD)

Identifiers

PMID42136945
PMCPMC13169505

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.